• DocumentCode
    3405048
  • Title

    Similarity to ideal-based grey relational projection for multiple criteria decision-making

  • Author

    Hongfa, Ke ; Sifeng, Liu

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1008
  • Lastpage
    1012
  • Abstract
    We have investigated the problems about multiple criteria decision-making. Using the grey system theory, technique for order preference by similarity to ideal solution, and the vector projection synthetically, a new synthetical grey relational projection algorithm was put forward. The decision-making model in which the adjacency degree both between the projects and positive ideal one and between the projects and negative ideal one is taken into account synchronously was set up. The principle of the algorithm and some basic concepts were introduced. Then the validity analysis method for the proposed algorithm which is based on the differentiation degree of the projects was presented. At last, the feasibility and effectiveness of the proposed decision-making algorithm and the validity analysis method were proved by an example. The algorithm which has the highest validity level offers a new thought way and more reliable basis for multiple criteria decision-making.
  • Keywords
    decision making; decision theory; grey systems; vectors; grey system theory; multiple criteria decision-making; similarity to ideal-based grey relational projection; synthetical grey relational projection algorithm; validity analysis method; vector projection; Algorithm design and analysis; Decision making; Engineering management; Intelligent systems; Jamming; Programmable logic arrays; Projection algorithms; Reflection; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408022
  • Filename
    5408022